I am a civil engineer and social scientist with a PhD in business. For my day job, I manage the data science team at a water utility in regional Australia. My responsibiity is to “create value with useful, sound and aesthetic data products”.
My approach to data science is practical as I solve real-life problems. Data science needs to be useful, sound and aesthetic to be able to create value.
Useful means that somebody can make a decision that increases value for an individual, an organisation or society overall. Sound means that the analysis is valid, reliable and reproducible. Last but not least, data products need to be aesthetic so that they are easy to understand.
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